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Independent component analysis of E. coli's transcriptome reveals the cellular processes that respond to heterologous gene expression
Affiliation:1. Department of Bioengineering, University of California - San Diego, La Jolla, CA 92093, USA;2. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Lyngby, Denmark;1. Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada;2. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada;3. Department of Biochemistry and Biomedical Sciences, M.G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8N 3Z5, Canada;4. Department of Biology and the Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON K1S 5B6, Canada;5. Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON K1A 0C6, Canada;6. Department of Biochemistry, Research and Innovation Centre, University of Regina, Regina, SK S4S 0A2, Canada;7. Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada;1. Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, United States;2. Department of Biology, University of Central Oklahoma, Edmond, OK 73034, United States;1. Department of Chemical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, Republic of Korea;2. School of Chemical and Biological Engineering, Institute of Chemical Process, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Republic of Korea;3. School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, Republic of Korea
Abstract:
Keywords:Heterologous gene expression  Host cell response  Big data  Independent component analysis  Metabolic burden  Plasmid
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